Redefining Medical Education: Balancing Innovation, Expansion and Excellence in the AI Era | Book Publisher International

 

The advent of artificial intelligence (AI) and rapid technological advancements have ushered in a new era in medical education. This monograph, “Redefining Medical Education: Balancing Innovation, Expansion and Excellence in the AI Era,” is a comprehensive academic compilation of 23 chapters that critically examine the evolving paradigms of medical teaching and learning in the 21st century.

 

Bringing together diverse perspectives from specialities such as Paediatrics & Neonatology, General Surgery, Orthopaedics, Radiology, Obstetrics & Gynaecology, and Surgical Superspecialities, the monograph explores how AI and digital tools are transforming medical curricula, clinical training, assessment, research, and faculty development.

 

It highlights key themes such as personalised learning, competency-based education, telemedicine, simulation-based training, ethical use of AI, global collaborations, and equity in medical access and education. The monograph also addresses the pressing need for balancing rapid expansion in medical institutions with sustained quality and academic excellence.

 

Designed for medical educators, postgraduate trainees, policymakers, and healthcare professionals, this work aims to stimulate critical discourse, encourage innovation, and provide strategic insights for shaping the future of medical education in an AI-integrated world—where technological progress harmonises with human values and academic rigour.

 

Author(s) Details

Dr. P. Ramu.
Government Medical College, Srikakulam, Andhra Pradesh, India.

 

Dr. D. Annapurna
Government Medical College, Vizianagaram, Andhra Pradesh, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-81-991027-5-0

Advances in Neonatal Care: Latest Trends and Innovations in Neonatology | Chapter 6 | Medical Science: Recent Advances and Applications Vol. 7

Neonatology has witnessed transformative advancements over the past decade, significantly enhancing the survival and quality of life for preterm and critically ill newborns. This transformation is driven by the integration of advanced technologies such as artificial intelligence (AI), genomics, non-invasive monitoring, and regenerative medicine. This chapter explores these emerging innovations and their expanding role in clinical practice. AI and machine learning (ML) are becoming vital components in neonatal intensive care units (NICUs), supporting accurate predictions, real-time monitoring, and timely clinical decision-making. Breakthroughs in genomics have ushered in the era of precision medicine, enabling individualised treatment strategies tailored to each infant’s genetic profile. Meanwhile, non-invasive monitoring tools are enhancing the quality and safety of neonatal care by providing continuous physiological data without the risks associated with invasive procedures. As these technologies continue to evolve, they hold the promise of further improving neonatal outcomes and advancing care strategies that are finely tuned to the unique needs of newborns.

 

Author(s) Details

P. Ramu
Government Medical College, Srikakulam, Andhra Pradesh, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v7/4624